ENEE222 Elements of Discrete Signal Analysis

Course Description:

The course begins by covering basic tools for signal analysis, namely real and complex sinusoids in both discrete and continuous time, sampling, linear transformations and orthogonal projections. It then develops the discrete Fourier transform (DFT) in detail and also provides an introduction to Fourier series. The course concludes with a discussion of FIR filters whereby key ideas and methodologies in linear time-invariant systems such as convolution (linear and circular), system functions, and frequency-selective filtering are presented.